@inproceedings{li-etal-2023-defining,
title = "Defining a New {NLP} Playground",
author = "Li, Sha and
Han, Chi and
Yu, Pengfei and
Edwards, Carl and
Li, Manling and
Wang, Xingyao and
Fung, Yi and
Yu, Charles and
Tetreault, Joel and
Hovy, Eduard and
Ji, Heng",
editor = "Bouamor, Houda and
Pino, Juan and
Bali, Kalika",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2023",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-emnlp.799",
doi = "10.18653/v1/2023.findings-emnlp.799",
pages = "11932--11951",
abstract = "The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field{'}s 80 year history. This has resulted in concerns that the field will become homogenized and resource-intensive. This new status quo has put many academic researchers, especially PhD students, at a disadvantage. This paper aims to define a new NLP playground by proposing 20+ PhD-dissertation-worthy research directions, covering theoretical analysis, new and challenging problems, learning paradigms and interdisciplinary applications.",
}
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<abstract>The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field’s 80 year history. This has resulted in concerns that the field will become homogenized and resource-intensive. This new status quo has put many academic researchers, especially PhD students, at a disadvantage. This paper aims to define a new NLP playground by proposing 20+ PhD-dissertation-worthy research directions, covering theoretical analysis, new and challenging problems, learning paradigms and interdisciplinary applications.</abstract>
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%0 Conference Proceedings
%T Defining a New NLP Playground
%A Li, Sha
%A Han, Chi
%A Yu, Pengfei
%A Edwards, Carl
%A Li, Manling
%A Wang, Xingyao
%A Fung, Yi
%A Yu, Charles
%A Tetreault, Joel
%A Hovy, Eduard
%A Ji, Heng
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Findings of the Association for Computational Linguistics: EMNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F li-etal-2023-defining
%X The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field’s 80 year history. This has resulted in concerns that the field will become homogenized and resource-intensive. This new status quo has put many academic researchers, especially PhD students, at a disadvantage. This paper aims to define a new NLP playground by proposing 20+ PhD-dissertation-worthy research directions, covering theoretical analysis, new and challenging problems, learning paradigms and interdisciplinary applications.
%R 10.18653/v1/2023.findings-emnlp.799
%U https://aclanthology.org/2023.findings-emnlp.799
%U https://doi.org/10.18653/v1/2023.findings-emnlp.799
%P 11932-11951
Markdown (Informal)
[Defining a New NLP Playground](https://aclanthology.org/2023.findings-emnlp.799) (Li et al., Findings 2023)
ACL
- Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Fung, Charles Yu, Joel Tetreault, Eduard Hovy, and Heng Ji. 2023. Defining a New NLP Playground. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 11932–11951, Singapore. Association for Computational Linguistics.